Triple

T11729950
Position Surface form Disambiguated ID Type / Status
Subject Office of Transportation and Air Quality E278871 entity
Predicate abbreviation P43 FINISHED
Object OTAQ
OTAQ is a division of the U.S. Environmental Protection Agency responsible for regulating vehicle emissions and advancing clean transportation and air quality initiatives.
E942111 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: OTAQ | Statement: [Office of Transportation and Air Quality, abbreviation, OTAQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OTAQ
Context triple: [Office of Transportation and Air Quality, abbreviation, OTAQ]
  • A. ATQ
    ATQ is the IATA airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
  • B. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • C. TAQ
    TAQ is the station code for Tasqueña, a major terminal station on Mexico City’s Metro system.
  • D. Otta
    Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
  • E. QTA
    QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OTAQ
Triple: [Office of Transportation and Air Quality, abbreviation, OTAQ]
Generated description
OTAQ is a division of the U.S. Environmental Protection Agency responsible for regulating vehicle emissions and advancing clean transportation and air quality initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OTAQ
Target entity description: OTAQ is a division of the U.S. Environmental Protection Agency responsible for regulating vehicle emissions and advancing clean transportation and air quality initiatives.
  • A. ATQ
    ATQ is the IATA airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
  • B. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • C. TAQ
    TAQ is the station code for Tasqueña, a major terminal station on Mexico City’s Metro system.
  • D. Otta
    Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
  • E. QTA
    QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d80ef881908cab956787ab07fd completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83f98fc481908015df3c4e5d7ed3 completed April 27, 2026, 3:42 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:41 p.m.